diff --git a/load_estimation_model.lua b/load_estimation_model.lua
index 423e587..6b2d44d 100644
--- a/load_estimation_model.lua
+++ b/load_estimation_model.lua
@@ -30,5 +30,5 @@ local X = data[{{},{2,-1}}]
 model = torch.load('estimation_model.dat')
 local myPrediction = model:forward(X)
 p_file:write('NAME,F1,F2,F3,F4\n')
-p_file:write(name..','..tostring(myPrediction[1][1])..','..tostring(myPrediction[1][2])..','..tostring(myPrediction[1][3])..','..tostring(myPrediction[1][4])..'\n')
+p_file:write(name..','..tostring(1000*myPrediction[1][1])..','..tostring(1000*myPrediction[1][2])..','..tostring(1000*myPrediction[1][3])..','..tostring(1000*myPrediction[1][4])..'\n')
 
diff --git a/load_tracking_model.lua b/load_tracking_model.lua
index 8eca3b6..f84aa20 100644
--- a/load_tracking_model.lua
+++ b/load_tracking_model.lua
@@ -39,6 +39,6 @@ model = torch.load('tracking_model.dat')
 local myPrediction = model:forward(X)
 p_file:write('NAME,F1,F2,F3,F4\n')
 for p=1, (#myPrediction)[1] do
-	p_file:write(names[p]..','..tostring(myPrediction[p][1])..','..tostring(myPrediction[p][2])..','..tostring(myPrediction[p][3])..','..tostring(myPrediction[p][4])..'\n')
+	p_file:write(names[p]..','..tostring(1000*myPrediction[p][1])..','..tostring(10008myPrediction[p][2])..','..tostring(1000*myPrediction[p][3])..','..tostring(1000*myPrediction[p][4])..'\n')
 
 end